Differential Evolution with Dynamic Parameters Selection for Optimization Problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Journal: IEEE Transactions on Evolutionary Computation IEEE Volume:
Keywords : Differential Evolution with Dynamic Parameters Selection    
Abstract:
Over the last few decades, a number of differential evolution (DE) algorithms have been proposed with excellent performance on mathematical benchmarks. However, like any other optimization algorithm, the success of DE is highly dependent on
   
     
 
       

Author Related Publications

  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
  • Saber Mohamed, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014 More
  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
  • Saber Mohamed, "Adaptive Configuration of Evolutionary Algorithms for Constrained Optimization", ELSEVIER, 2013 More

Department Related Publications

  • Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014 More
  • Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012 More
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  • Saber Mohamed, "Evolutionary Algorithms for Power Generation Planning with Uncertain Renewable Energy", Elsevier, 2016 More
  • Mohammed Abdel Basset Metwally Attia, "Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems", IEEE, 2021 More
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